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Educating a New Generation of Workers

O'Reilly Media

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This event-driven architecture provides immediate processing of new documents.

AWS 111
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Understanding the Generative AI Value Chain

Pickl AI

Cost Efficiency By utilizing cloud services, organisations can reduce costs related to maintaining their own data centers while benefiting from access to powerful computing capabilities on a pay-as-you-go basis. How Does Cloud Computing Support Generative AI?

AI 52
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Data residency

Dataconomy

As organizations increasingly rely on cloud computing, understanding where data resides becomes crucial for compliance with various legal frameworks. Notably, the advent of cloud computing introduces both benefits and challenges related to data residency.

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How to Develop Serverless Code Using Azure Functions?

Analytics Vidhya

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 321
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Ask HN: Who is hiring? (July 2025)

Hacker News

You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

Python 82
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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. Documentation and Disaster Recovery Made Easy Data is the lifeblood of any organization, and losing it can be catastrophic.